Senior Software Engineer, R&D
Berkshire Grey
Bedford, MA · Posted August 7, 2026
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Where Bedford, MA ranks
Where Bedford, MA placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #7Best cities for software and engineering jobs in New England85 openings · of 24
- #10Best cities for mid-career professionals in New England52% · of 28
- #12Cities with the most hybrid jobs in New England12% · of 27
- #14Best cities for AI-skill jobs in New England8% · of 28
- #14Best cities for director and executive jobs in New England24% · of 28
- #16Best cities for software and engineering jobs in the Northeast85 openings · of 52
Rankings about engineering jobs
- Best cities for software and engineering jobs #1 San Francisco (3,412 openings)
- Best cities for engineering pay after cost of living #1 San Mateo ($216k)
- Most requested AI skills in engineering jobs #1 AI tools in daily work (6.1%)
- AI tools named most often in engineering jobs #1 Claude (1.7%)
- Employers with the most engineering jobs #1 Amazon (2,992 roles)
Pay compared with the market
This listing does not state pay. Across 930 open senior software engineer listings that state pay, the middle half runs $182,500 to $222,500 and the median is $204,000.
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How AI is used in this kind of work
Among software developers, AI is already used for some of the tasks. Measured exposure for software developers: 29% (some).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
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About the job
About The Job
Berkshire Grey is a leader in the field of AI and robotics, providing innovative solutions for e-commerce, retail replenishment, package handling, and logistics operations. Our technology automates complex warehouse tasks such as picking, packing, sorting, and trailer unloading.
As part of the Research & Advanced Development group, you will develop new approaches to solving a variety of challenging manipulation problems for real-world robotics systems, allowing them to understand and interact with their environment in unprecedented ways. This position offers a unique opportunity to work at the cutting edge of robotics applied to real-world challenges. Your work will span the full range of this robotics stack, from robot drivers to the multi-robot orchestration system running in Berkshire Grey’s in-house robot proving ground.
Responsibilities
Contribute to training and adapting of existing machine learning architectures for robot learning and visual scene understanding
Contribute to the development and continuous improvement of Berkshire Grey’s robot policy learning data collection application
Determine what demonstrations, robot logs, sensor data, annotations, and failure cases are suitable for fine-tuning robot foundation models when applied to new tasks, embodiments, or environments
Stay abreast of the latest advancements in robotics and related fields, evaluating applicability to our challenges
Collaborate with external research partners to find solutions for BG’s problem space
Assist with mentorship of more junior engineers or interns
Quickly prototype solutions, creating demos for stakeholders and visitors
Own solutions from the prototype stage to robust, production-ready features
Minimum Qualifications:
Master’s degree in Robotics, Machine Learning, Computer Vision, Computer Science or a closely related field
Experience in software development in robotics or automation roles
Strong development expertise in Python and C++
Experience with modern software engineering tooling and workflows including Git and CI/CD
Experience in working with ROS or ROS2
Experience in designing and implementing software and algorithms for real robots, including troubleshooting of real robot systems
Demonstrated ability to:
Work in a fast-paced environment with changing priorities
Determine and communicate justification of technical priorities
Rapidly prototype and iterate on solutions to challenging problems
Work independently on a variety of projects while maintaining focus
Strong verbal and written communication skills, capable of explaining complex ideas clearly and concisely to both technical and non-technical stakeholders
Preferred Qualifications:
3+ years of relevant software engineering experience in robotics or automation roles
Demonstrated experience with one or multiple of:
Computer vision applied to robotic manipulation problems, such as grasp estimation, object detection/segmentation, or anomaly detection
Motion planning & optimization for single or bimanual manipulation
Imitation learning for manipulation or other real world use cases
Experience with:
Common deep learning frameworks such as PyTorch
Robot simulators (e.g. Isaac Sim, MuJoCo)
Robot learning frameworks (e.g. Orbit / Isaac Labs, OpenAI Gym)
Robotic sensors, such as RGB cameras and depth sensors
Combining model-based and data-driven approaches
Docker, cloud computing, or similar applications
Parallel/distributed systems and asynchronous/concurrent programming
Production robot deployment
Agentic coding tools
Possessing some of these preferred qualifications is great to have but not required and should not discourage applicants from applying.
Travel: Occasional; up to 10%.
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